Evidence map›Paper›PMID 31423513›Full record

ArticleSaudi medical journal2019

Evaluation of ADAM33 gene's single nucleotide polymorphism variants against asthma and the unique pattern of inheritance in Northern and Central Punjab, Pakistan.

Muhammad U Ghani, Muhammad F Sabar, Iqbal Bano, Mariam Shahid, Muhammad Akram, Ifrah Khalid, Alishba Maryam, Muhammad U Khan

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Muhammad U GhaniCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan. E-mail. usman.camb@pu.edu.pk.
Muhammad F Sabar
Iqbal Bano
Mariam Shahid
Muhammad Akram
Ifrah Khalid
Alishba Maryam
Muhammad U Khan
Centre of Excellence in Molecular Biology · PKUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the relationship of 3 single nucleotide polymorphism (SNP) variants of ADAM33 with asthma susceptibility in patients from Northern and Central Punjab, Punjab, Pakistan. Methods: In this case-control study, healthy and asthmatic participants were recruited between 2015 and 2017. The SNPs of ADAM33 gene, rs2280089, rs2280090, and rs2280091 were analyzed in 296 asthma patients and 343 healthy controls, as well as linkage disequilibrium and haplotype analysis.

resultsThe non-significant differences were observed in allele and genotype frequencies of the SNPs in asthmatic and healthy persons even after population stratification based on age, caste, gender, family history, and environment. Although these SNPs were non-significant for disease susceptibility among children and adults, a fixed unique pattern of inheritance was nevertheless observed for the studied SNPs. Linkage disequilibrium analysis presented a very strong linkage between the SNP variants to predict their co-inheritance in study population. However, none of the haplotypes were found to be associated with asthma disease development.

conclusionThe studied SNPs of ADAM33 appeared to be non-significant for asthma susceptibility in  Northern and Central Punjabi population. The fixed allele combination inheritance pattern was a unique observation contrary to findings in other global populations.

Indexed as

ADAM ProteinsAdolescentAsthmaCase-Control StudiesChildFemaleGene FrequencyGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMalePakistanPolymorphism, Single NucleotideADAM33 protein, humanADAM Proteins

Identifiers

PMID31423513
PMCPMC6718850
OpenAlexW2967721651

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.